LLAMA 4 in 9 Minutes

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AI Summary

Summary of Llama 4 Video

1. Overview of Llama 4 Models
   • Llama 4 includes three new models: Behemoth (2 trillion parameters), Maverick (400 billion parameters), and Scout (17 billion parameters).
   • Llama 4 Scout offers an industry-leading 10 million tokens of context.
   • The models have been trained with 10 times more multilingual tokens than Llama 3.
2. Model Specifications
   • Llama 4 Scout:
     • 17 billion active parameters with 16 experts.
     • Best multimodal model, offers great performance across benchmarks.
     • Can process large texts (e.g., up to 7,500 pages of text in a single prompt).
   • Llama 4 Maverick:
     • 400 billion total parameters, 17 billion active parameters with 128 experts.
     • Natively multimodal with a million token context.
     • Performs well on reasoning and coding tasks.
   • Llama 4 Behemoth:
     • Still under training, expected to outperform its predecessors.
3. Performance and Benchmarks
   • Llama 4 models outperformed competitors like GPD40 and Gemini models in various benchmarks.
   • Maverick offers best-in-class performance for multilingual capabilities.
   • Llama 4 models optimized for cost and efficiency through a mixture of experts architecture.
4. Accessing the Models
   • Models can be accessed via lama-d.
   • Pricing estimates: Scout at $0.11permilliontokensinput;Maverickat$0.50 per million tokens input.
5. Future Updates
   • Additional releases and updates to the Llama 4 series are anticipated, diversifying the capabilities of the models further.